iPhone 14 Pro Max
Geekbench AI Score
3521
Single Precision Score
21871
Half Precision Score
25401
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 10 2024 11:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
9858
1.83 KIPS |
|
|
Image Classification (Q)
|
97% |
12509
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13667
221.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17931
290.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6990
8.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
95012
110.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102262
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
100% |
12711
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14341
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3082
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
29622
352.0 IPS |
|
|
Face Detection (Q)
|
100% |
39310
467.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6184
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75602
582.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
96122
751.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19008
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
162263
208.6 IPS |
|
|
Style Transfer (Q)
|
96% |
167857
216.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4214
155.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31700
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38209
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2562
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1940
2.59 KIPS |
|
|
Text Classification (Q)
|
93% |
1913
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3406
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6890
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7334
126.7 IPS |
